Triple
T8835127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université du Québec en Outaouais |
E210247
|
entity |
| Predicate | hasAcademicOffer |
P49
|
FINISHED |
| Object | bachelor’s degree programs |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: bachelor’s degree programs | Statement: [Université du Québec en Outaouais, hasAcademicOffer, bachelor’s degree programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicOffer Context triple: [Université du Québec en Outaouais, hasAcademicOffer, bachelor’s degree programs]
-
A.
hasOrganScholarships
Indicates that an entity offers or provides scholarships specifically related to organ study or performance.
-
B.
hasScholarshipOn
Indicates that one entity provides or holds a scholarship related to another entity, such as a person receiving financial support for study at an institution or in a specific field.
-
C.
hasScholarships
Indicates that an entity provides, offers, or is associated with one or more scholarships to another entity.
-
D.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
E.
offersDegree
chosen
Indicates that an institution or program provides a specific academic degree as an available qualification.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60686cac8190b3138db40b6fe058 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.